Fork of Auto MPG Summary

Fork of Fork of Auto MPG Summary

This visualization displays a text-based summary of the Auto MPG dataset from the UCI Machine Learning Repository, showing the row and column counts, data size in kilobytes, and the first 10 rows of data as formatted JSON. Rendered in a terminal-inspired black-and-green aesthetic, the page uses d3.csv to fetch and parse the remote CSV file, then appends `<pre>` elements to the document body via d3.select. The code computes the data size using csvFormat and presents the summary in a large monospace font.

Fork of Fork of Fork of Fork of Auto MPG Summary

This visualization displays a plain-text summary of the Auto MPG dataset from the UCI Machine Learning Repository, presenting the row count, column count, and file size in kilobytes. It then prints the first 10 rows of the data as formatted JSON. The code uses d3.csv to load the data and d3.csvFormat to calculate its size, appending the results as styled `` elements with a green-on-black terminal aesthetic via CSS.

Fork of Auto MPG Summary

This visualization presents a text-based summary of the UCI Machine Learning Repository’s Auto MPG dataset. It displays the total number of rows, columns, and rounded file size in kilobytes, followed by a pretty-printed JSON preview of the first ten data records. The page uses D3 v5’s `select`, `csv`, and `csvFormat` functions to fetch the remote CSV, compute row and column counts, and format the output for display. The black background and green monospaced text create a terminal-like aesthetic, with large `<pre>` elements rendering the results.

Llemonxixixi

Fork of Auto MPG Summary

This fork displays a text-based summary of the Auto MPG dataset from the UCI Machine Learning Repository, showing the row count, column count, and file size in kilobytes, followed by the first ten rows formatted as JSON. The visualization uses d3.csv to load the data and d3.csvFormat to calculate the dataset’s size, then appends the results to the body using d3.select and pre elements. The page is styled with minimal CSS, setting a white background and large monospace text for readability.

Fork of Fork of Fork of Auto MPG Summary

This visualization displays a plain-text summary of the Auto MPG dataset from the UCI Machine Learning Repository, showing the row count, column count, file size in kilobytes, and the first ten rows as JSON. The page uses d3.csv to load the data from a remote URL, then d3.select and append to create three `<pre>` elements with monospaced text. The styling uses black background with green terminal-like text via CSS. The code computes file size using d3.csvFormat to estimate the dataset’s kilobyte size.

Fork of Auto MPG Summary

This visualization displays a text-based summary of the Auto MPG dataset, showing the row count, column count, and approximate file size, followed by the first ten rows in JSON format. The data is loaded from a CSV file hosted on VizHub, which originates from the UCI Machine Learning Repository. The program uses D3’s `csv` module for fetching and parsing the data, `csvFormat` to calculate the size in kilobytes, and `select` to manage DOM elements. The output is styled with monospaced green text on a black background.

Fork of Auto MPG Summary

This visualization displays a plain-text summary of the Auto MPG dataset from the UCI Machine Learning Repository. It shows the total row count, column count, and file size in kilobytes, followed by the first 10 rows as formatted JSON. Using D3 v5, the code loads data with `csv` from a remote URL and appends `<pre>` elements to the document body via `select`. The computation for file size uses `csvFormat` and the `Math.ceil` method, while styling is handled by a separate CSS file with black and green terminal-like colors.

Rradiohead-lgl

94% match

Fork of Auto MPG Summary

This example summarizes the Auto MPG dataset from the UCI Machine Learning Repository by displaying text-based statistics on a black terminal-style interface. It shows the total row count, column count, and computed dataset size in kilobytes, followed by a JSON-formatted preview of the first ten rows. The code uses `d3.csv` to load the data and `csvFormat` to measure its size, while `select` and `append` from D3 v5 build the `<pre>` elements that render the glyph-like green text.